Azure AI SearchMicrosoft
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Cohere RerankCohere
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Related Products
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About
Deliver high-quality responses with a vector database built for advanced retrieval augmented generation (RAG) and modern search. Focus on exponential growth with an enterprise-ready vector database that comes with security, compliance, and responsible AI practices built in. Build better applications with sophisticated retrieval strategies backed by decades of research and customer validation. Quickly deploy your generative AI app with seamless platform and data integrations for data sources, AI models, and frameworks. Automatically upload data from a wide range of supported Azure and third-party sources. Streamline vector data processing with built-in extraction, chunking, enrichment, and vectorization, all in one flow. Support for multivector, hybrid, multilingual, and metadata filtering. Move beyond vector-only search with keyword match scoring, reranking, geospatial search, and autocomplete.
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About
Cohere Rerank is a powerful semantic search tool that refines enterprise search and retrieval by precisely ranking results. It processes a query and a list of documents, ordering them from most to least semantically relevant, and assigns a relevance score between 0 and 1 to each document. This ensures that only the most pertinent documents are passed into your RAG pipeline and agentic workflows, reducing token use, minimizing latency, and boosting accuracy. The latest model, Rerank v3.5, supports English and multilingual documents, as well as semi-structured data like JSON, with a context length of 4096 tokens. Long documents are automatically chunked, and the highest relevance score among chunks is used for ranking. Rerank can be integrated into existing keyword or semantic search systems with minimal code changes, enhancing the relevance of search results. It is accessible via Cohere's API and is compatible with various platforms, including Amazon Bedrock and SageMaker.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies and individuals wanting a tool to perform advanced search and retrieval operations
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Audience
Enterprise developers and data scientists interested in a tool to enhance the accuracy and efficiency of their search and retrieval systems by integrating advanced semantic ranking capabilities
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.11 per hour
Free Version
Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/ai-services/ai-search/
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Company InformationCohere
Founded: 2019
Canada
cohere.com/rerank
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Categories |
Categories |
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Integrations
Amazon Bedrock
Not Supported
Amazon SageMaker
Not Supported
Azure AI Services
Supported
Azure Machine Learning
Supported
Azure Marketplace
Supported
Azure OpenAI Service
Supported
Cognee
Supported
Cohere
Not Supported
Google Docs
Not Supported
Google Sheets
Not Supported
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Integrations
Amazon Bedrock
Supported
Amazon SageMaker
Supported
Azure AI Services
Not Supported
Azure Machine Learning
Not Supported
Azure Marketplace
Not Supported
Azure OpenAI Service
Not Supported
Cognee
Not Supported
Cohere
Supported
Google Docs
Supported
Google Sheets
Supported
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